Machine Learning with LightGBM and Python: A practitioner's guide to developing production-ready machine learning systems

Table of Contents

1. An Introduction Machine Learning and Decision Trees
2. Decision Tree Ensembles: Bagging and Boosting
3. An Overview of LightGBM in Python
4. LightGBM, XGBoost and Deep Learning
5. LightGBM Parameter Optimization and Tuning with Optuna
6. Solving Real World Problems with LightGBM
7. LightGBM AutoML with FLAML
8. Machine Learning Pipelines with LightGBM
9. Deploying LightGBM to AWS SageMaker
10. Deploying LightGBM with PostgresML
11. Distributed Training and Serving of LightGBM using Dask